Startups · AI

Platform Engineer

Harper · San Francisco · On-site

← All jobs
About Harper

You make one call, we make the rest. Harper learns your business, works every market that can write it, and brings back the right coverage at the right price. Backed by Peak XV, Y Combinator and Antler.

About the role

You're an infrastructure-focused engineer with depth across databases, AWS, networking, observability, SRE, CI/CD, and AI tooling. You build the systems and tooling the rest of engineering depends on—optimized for performance, reliability, and developer velocity.

What they're looking for

  • You've owned production systems at scale—not contributed to, owned, you got paged when they broke
  • You write code with AI (Cursor, Claude Code) and know how to leverage it for infrastructure work
  • You have depth across at least two of: databases, cloud infrastructure (AWS), networking, observability, or CI/CD
  • You've designed systems that survive real load—retries, DLQs, back pressure, idempotency, the whole stack
  • You care about developer experience—the tools other engineers use are as much your product as the customer-facing ones
  • You'd rather build the system that prevents the fire than firefight forever
More about this role

36 million businesses in America need insurance—it's not optional. 77% are underinsured. 40% have no coverage at all. The distribution system failed them: too slow, too opaque, too confusing.

Over 90% of commercial insurance is still human-led. We're building the inverse: 90%+ AI-led, pushing toward the higher 90s. Not by patching legacy workflows—by building AI that makes humans more effective, improves the customer experience, and eliminates friction at every step.

We're adding ~1,000 customers per month. We've grown 100x since last year. We're looking to do even more this year—and that's why we're hiring.

You build the systems the rest of engineering depends on. When they compound, everyone gets faster.

Harper runs 200+ services across Railway and AWS. We orchestrate N parallel agentic workloads. Our AI systems make thousands of decisions a day, and every decision needs to be traceable, evaluated, and cheaper to run tomorrow than it is today. The infrastructure underneath all of that is the difference between a company that scales and one that stalls.

Great platform engineering here isn't invisible—it's the reason product ships fast. When observability catches a silent failure...

Read the full posting on Harper's site ↗

Engineering

Build your edge while you search

Free tools for founders and investors, plus VC Unfiltered, our take on startups, venture and the people who build them.